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CS Principles: Big Ideas in Programming

Annoucements

Calling all women, genderqueer, and non-binary technologists in grades 9-12! Apply now for the NCWIT Award for Aspirations in Computing to be recognized for all that you do (or want to do) in technology. Visit www.aspirations.org/AiCHSAward for details. #NCWITAiC22

• The Award for AiC honors 9th-12th grade women, genderqueer, and non-binary students for their computing-related achievements and interests, and encourages them to pursue their passions.

Calling all educators (teachers, counselors, coaches, mentors, and others) who support students’ interest in tech: apply for the AiC Educator Award! www.aspirations.org/AiCEduAward #NCWITAiC22 #CSed

• The AiC Educator Award identifies exemplary formal and informal educators who play a pivotal role in encouraging 9th-12th grade women, genderqueer, and non-binary students to explore their interests in computing and technology.

We are currently also accepting applications for a free online mentorship program for women of color (Black, Latina, and/or Native American) who are taking an Advanced Placement Computer Science A course (CSA or CSP) during the 2021-2022 school year.

• This program is part of a research project, Sisters Rise Up, which studies ways to help women of color succeed in AP CS. It offers free remote help sessions led by undergraduate students from the University of Michigan. Two one-hour remote help sessions are offered most weeks and a two-three hour remote help session is offered once a month. If you take the AP CS exam and send in your score by the end of August you will receive a $100 gift card.

• If you are interested, please fill out contact information for a parent or guardian at https://forms.gle/4LfH8r28tw67iZd78.

Assignments

• Assignments

• 1. Chapter 1 - What is this Book About?
  • 1.1. This Book is for Students
    • 1.1.1. License
  • 1.2. Pretest
  • 1.3. Compute with Numbers
  • 1.4. Compute with Words
  • 1.5. Compute with Turtles
  • 1.6. Compute with Images
  • 1.7. Standards - Big Ideas
  • 1.8. Chapter 1 - Concept Summary
  • 1.9. Chapter 1 Exercises
• 2. Chapter 2 - What can Computers Do?
  • 2.1. What is a Computer?
  • 2.2. Turing Machines
  • 2.3. It’s All Bits
    • 2.3.1. Number Systems
    • 2.3.2. Bits and Bytes
  • 2.4. Computer Abilities
  • 2.5. Chapter 2 - Concept Summary
  • 2.6. Exam Questions for Chapters 1 and 2
• 3. Chapter 3 - Names for Numbers
  • 3.1. Assigning a Name
    • 3.1.1. Legal Variable Names
  • 3.2. Expressions
    • 3.2.1. Integer Division
    • 3.2.2. Modulo
  • 3.3. Summary of Expression Types
  • 3.4. How Expressions are Evaluated
  • 3.5. Driving from Chicago to Dallas
  • 3.6. Following the Ketchup Ooze
  • 3.7. Walking through Assignment more Generally
  • 3.8. Figuring out an Invoice
  • 3.9. Chapter 3 - Summary
  • 3.10. Chapter 3 Exercises
  • 3.11. Mixed Up Code Practice
• 4. Chapter 4 - Names for Strings
  • 4.1. Assign a Name to a String
    • 4.1.1. Concatenating (Appending) Strings
    • 4.1.2. Concatenating Strings and Numbers
  • 4.2. Strings are Objects
    • 4.2.1. Getting Part of a String
    • 4.2.2. Some Other String Functions
  • 4.3. Strings are Immutable
  • 4.4. Making a MadLib story
  • 4.5. Chapter 4 - Summary
    • 4.5.1. Summary of String Functions
  • 4.6. Chapter 4 Exercises
  • 4.7. Mixed Up Code Practice
  • 4.8. Exam Questions for Chapters 3 and 4
• 5. Chapter 5 - Names for Turtles
  • 5.1. Assign a Name to a Turtle
    • 5.1.1. What does a left turn of 90 mean?
  • 5.2. Procedures and Functions
  • 5.3. Practice with Turtles
  • 5.4. More Turtle Procedures and Functions
  • 5.5. Single and Multiple Turtles
  • 5.6. Bob Builds a House
  • 5.7. Changing Turtle Programs
  • 5.8. Chapter 5 - Summary
    • 5.8.1. Summary of Turtle Functions and Procedures
  • 5.9. Chapter 5 Exercises
  • 5.10. Mixed Up Code Practice
• 6. Chapter 6 - Computers can Name Anything
  • 6.1. Naming Everything
  • 6.2. Naming Procedures and Functions
  • 6.3. Naming Sets of Steps
    • 6.3.1. Defining a Function
  • 6.4. Naming Input
  • 6.5. Naming Sets of Procedures and Functions
  • 6.6. Using an Image Library
  • 6.7. Renaming Python’s Functions
  • 6.8. Chapter 6 - Summary
  • 6.9. Chapter 6 Exercises
  • 6.10. Exam Questions for Chapters 5 and 6
• 7. Chapter 7 - Computers can Repeat Steps
  • 7.1. Repeating Steps
  • 7.2. Repeating with Numbers
  • 7.3. What is a List?
    • 7.3.1. Using Better Variable Names
  • 7.4. The Range Function
  • 7.5. There’s a Pattern Here!
  • 7.6. Using the Accumulator Pattern
  • 7.7. Adding Print Statements
  • 7.8. Chapter 7 - Summary
    • 7.8.1. Summary of Python Keywords and Functions
  • 7.9. Chapter 7 Exercises
• 8. Chapter 8 - While and For Loops
  • 8.1. Loops - For and While
    • 8.1.1. Example For Loop
    • 8.1.2. Introducing the While Loop
  • 8.2. Infinite Loops
  • 8.3. Counting with a While Loop
    • 8.3.1. Side by Side Comparison of a For Loop and a While Loop
  • 8.4. Looping When We Don’t Know When We’ll Stop
  • 8.5. Nested For Loops
    • 8.5.1. How Many Times Does the Inner Loop Execute?
  • 8.6. Chapter 8 - Summary
    • 8.6.1. Summary of Python Keywords and Functions
  • 8.7. Chapter 8 Exercises
  • 8.8. Mixed Up Code Practice
  • 8.9. Exam Questions for Chapters 7 and 8
• 9. Chapter 9 - Repeating Steps with Strings
  • 9.1. Using Repetition with Strings
  • 9.2. Reversing Text
  • 9.3. Mirroring Text
  • 9.4. Modifying Text
  • 9.5. Chapter 9 - Summary
    • 9.5.1. Summary of Python Keywords and Functions
  • 9.6. Chapter 9 Exercises
• 10. Chapter 10 - Repeating Steps with Turtles
  • 10.1. Using Repetition with Turtles
  • 10.2. Teacher Note: Turtle Geometry
  • 10.3. Total Turtle Trip Theorem
  • 10.4. Making Patterns within Patterns
  • 10.5. The Turtle Stamp Procedure
  • 10.6. More Turtle Stamp Practice
  • 10.7. Chapter 10 - Summary
    • 10.7.1. Summary of Python Keywords and Functions
    • 10.7.2. Summary of Turtle Functions and Procedures
  • 10.8. Chapter 10 Exercises
• 11. Chapter 11 - Repeating Steps with Images
  • 11.1. Using Repetition with Images
  • 11.2. A Library of Images
  • 11.3. Understanding Image Representation
  • 11.4. A Pattern for Image Processing
  • 11.5. Changing Step 5: Increasing and decreasing color values
  • 11.6. Changing Step 6: Changing where we put the colors
  • 11.7. Changing Step 3: Changing which data we use
  • 11.8. Chapter 11 - Summary
  • 11.9. Chapter 11 Exercises
  • 11.10. Exam Questions for Chapters 9 to 11
• 12. Chapter 12 - A Computer can Make Decisions
  • 12.1. Making Decisions
  • 12.2. The if Statement
  • 12.3. Using Multiple if statements
  • 12.4. Logical Expressions
  • 12.5. Complex Conditionals (and, or, and not)
  • 12.6. Practice with if
  • 12.7. Using if and else
  • 12.8. Chapter 12 - Summary
    • 12.8.1. Summary of Python Keywords and Functions
  • 12.9. Chapter 12 Exercises
• 13. Chapter 13 - Using Decisions with Strings
  • 13.1. Using Decisions with Strings
  • 13.2. Interactive Stories with Input
  • 13.3. Fortune Teller
  • 13.4. Using elif for more options
  • 13.5. Chapter 13 - Summary
    • 13.5.1. Summary of Python Keywords and Functions
  • 13.6. Chapter 13 Exercises
  • 13.7. Mixed Up Code Practice
  • 13.8. Exam Questions for Chapters 12 and 13
• 14. Chapter 14 - Using Decisions with Turtles
  • 14.1. Turtle Functions and Procedures
  • 14.2. Using Decisions with Turtles
  • 14.3. Detecting Odd and Even
  • 14.4. Using Random Numbers
  • 14.5. Avoiding Collisions
  • 14.6. Chapter 14 - Summary
    • 14.6.1. Summary of Python Keywords and Functions
  • 14.7. Chapter 14 Exercises
• 15. Chapter 15 - Using Decisions with Images
  • 15.1. Using Decisions with Images
  • 15.2. Combining Pictures
  • 15.3. If and Else with Images
  • 15.4. Multiple If’s with Images
  • 15.5. Chapter 15 - Concept Summary
    • 15.5.1. Summary of Python Keywords and Functions
  • 15.6. Chapter 15 Exercises
  • 15.7. Exam Questions for Chapters 14 and 15
• 16. Chapter 16 - Working with Collections
  • 16.1. Working with Collections of Data
  • 16.2. Working with Strings
  • 16.3. Working with Lists
  • 16.4. Working with Indexes
  • 16.5. Reversing a List
  • 16.6. Vary the Change Amount in Range
  • 16.7. Using a Negative Change Value with Range
  • 16.8. For Each Item Loop
  • 16.9. Rainfall Problem
  • 16.10. Chapter 16 - Concept Summary
    • 16.10.1. Summary of Python Keywords and Functions
  • 16.11. Mixed Up Code Practice
  • 16.12. Chapter 16 Exercises
• 17. Chapter 17 - Getting pieces out of strings and lists
  • 17.1. Breaking Strings into Pieces
  • 17.2. Making MadLib Stories, Easier
  • 17.3. Using the Split Function
  • 17.4. Out of Range Error
  • 17.5. Creating a Procedure with Parameters
  • 17.6. Creating parts of strings
  • 17.7. Chapter 17 - Concept Summary
    • 17.7.1. Summary of Python Keywords and Functions
  • 17.8. Chapter 17 Exercises
  • 17.9. Exam Questions for Chapters 16 and 17
  • 17.10. Mixed Up Code Practice
• 18. Chapter 18 - Working with Data on the Web
  • 18.1. Web Data
  • 18.2. Our first data set: Air pollution in the United States
  • 18.3. Reading the data
  • 18.4. What’s the largest pollution values?
  • 18.5. What’s the lowest PM 2.5 pollution?
  • 18.6. What’s the average PM 2.5 pollution?
  • 18.7. Most Populated and Least Populated States
    • 18.7.1. Do bigger or richer states have more pollution?
  • 18.8. Finding the Pollution for a State
  • 18.9. Chapter 18 - Concept Summary
    • 18.9.1. Summary of Python Keywords and Functions
  • 18.10. Chapter 18 Exercises
• 19. Chapter 19 - Computer Abilities Summary
  • 19.1. Computer Abilities
  • 19.2. Chapter 19 - Concept Summary
  • 19.3. Post Exam
• 20. Chapter 20: The Internet
  • 20.1. Introduction to the Internet
  • 20.2. The Internet is Many Computers
    • 20.2.1. Protocols and Standards
    • 20.2.2. Packets
    • 20.2.3. Systems Built on the Internet
    • 20.2.4. Summary
  • 20.3. Cybersecurity
    • 20.3.1. Types of Cyber Attacks
    • 20.3.2. Cybercrime
    • 20.3.3. Cryptography
    • 20.3.4. Cryptography Standards
• 21. Chapter 21 - Creativity
  • 21.1. Creativity
  • 21.2. Preparing for the AP CS Principles Exam
    • 21.2.1. The Create Task
  • 21.3. Deciding What to Program
  • 21.4. Project Examples
  • 21.5. Progress and Process Questions
  • 21.6. Programming in a Team
  • 21.7. Referencing Code
    • 21.7.1. Citing Code in Written Report
    • 21.7.2. Citing Code in the Source Code
• 22. Chapter 22 - Global Impact
  • 22.1. Global Impact
  • 22.2. Exploring Impact Data
  • 22.3. Preparing for the AP CS Principles Exam
    • 22.3.1. The Explore Task
  • 22.4. Deciding on an Innovation
  • 22.5. Choosing a Topic
  • 22.6. Writing an Outline
  • 22.7. Presenting your Innovation
    • 22.7.1. Writing about your Innovation
    • 22.7.2. Creating a Visual Artifact
  • 22.8. Creating your project
• 23. Chapter 23 - What’s Next?
  • 23.1. What’s Next
    • 23.1.1. Downloading and Installing Python Instructions
    • 23.1.2. Outside Resources
    • 23.1.3. Python Libraries
    • 23.1.4. Small Scale Projects
    • 23.1.5. Application And Beyond
• 24. Chapter 24 - PRACTICE EXAMS
  • 24.1. AP CS Principles Exam Format
  • 24.2. Set #1
  • 24.3. Set #2
  • 24.4. Set #3
  • 24.5. Set #4
• 25. Chapter 25 - UNTIMED PRACTICE QUESTIONS
  • 25.1. Set #1
  • 25.2. Set #2
  • 25.3. Set #3
  • 25.4. Set #4

• Index

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